LangGraphIntermediateā± ~30 minutes

Employee Onboarding Agent

Give every new hire a world-class onboarding experience — automated from offer to 90-day review

ā˜… 4.5(19 reviews)•Operations
Preview Code ↓
$99$198
  • āœ“ Full source code & documentation
  • āœ“ Commercial license included
  • āœ“ 30-day email support
  • āœ“ Free updates for 1 year

What You Get

Everything included in this template package

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Working Agent Code

3 LangGraph agents for onboarding orchestration

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Configuration File

YAML config for roles, departments, and task templates

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Prompt Templates

10 prompts for check-ins, reminders, and welcome messages

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Setup Guide

Step-by-step walkthrough from install to first onboarding

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Example I/O

Sample onboarding plans and generated communications

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Architecture Diagram

Visual flow of the onboarding pipeline

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The Problem

Manual onboarding is inconsistent and time-consuming. HR teams juggle dozens of tasks per new hire across multiple systems, leading to missed steps, delayed access, and poor first impressions.

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The Solution

This agent automates the entire onboarding journey from offer acceptance through 90-day review. It creates personalized onboarding plans, assigns tasks to stakeholders, sends scheduled check-ins, and ensures every new hire gets a consistent, high-quality experience.

How It Works

Your AI crew handles the entire workflow

Input

Your task description, data, or trigger event

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AI Agents
Onboarding PlannerCreates role-specific onboarding plans with tasks and timelines
Task CoordinatorAssigns and tracks tasks across HR, IT, and hiring managers
Check-in AgentSends scheduled check-ins and collects feedback from new hires
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Output

Structured results, reports, and actionable insights

Code Preview

Sample of the LangGraph agent setup

Preview only
crew.py
from langgraph.graph import StateGraph
from agents import PlannerAgent, CoordinatorAgent, CheckinAgent

graph = StateGraph(OnboardingState)
graph.add_node('plan', PlannerAgent())
graph.add_node('coordinate', CoordinatorAgent())
graph.add_node('checkin', CheckinAgent())

graph.add_edge('plan', 'coordinate')
graph.add_edge('coordinate', 'checkin')

app = graph.compile()

Example Input & Output

See what goes in and what comes out

Input
New Hire: Alex Rivera
Role: Senior Frontend Engineer
Start Date: March 15, 2026
Department: Engineering
Manager: Sarah Chen
Output
Onboarding Plan Created for Alex Rivera:

Pre-Day 1:
āœ“ IT ticket: Laptop + accounts provisioned
āœ“ Slack: Added to #engineering, #frontend, #new-hires
āœ“ Welcome email sent with first-week schedule

Week 1:
āœ“ Day 1: Office tour + team intro (Sarah Chen)
āœ“ Day 2: Dev environment setup + repo access
āœ“ Day 3: Architecture overview session
āœ“ Day 5: First week check-in scheduled

30/60/90 Day Reviews: Auto-scheduled

Key Features

Built for production use

✦Personalized onboarding checklists
✦Document collection and verification
✦IT provisioning request automation
✦Training schedule coordination
✦Buddy/mentor matching
✦30-60-90 day plan generation

Requirements

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Python
3.10+
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Framework
CrewAI 0.50+
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API Keys
OpenAI
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Monthly Cost
$5-15

Frequently Asked Questions

Is this template fully customizable?+

Yes. Roles, departments, task templates, and timelines are all configurable.

What if I need help setting it up?+

30 days of email support included.

What framework does this use?+

LangGraph for stateful, long-running onboarding workflows.

Can I use this commercially?+

Yes. Full commercial license included.

What's the refund policy?+

14-day money-back guarantee, no questions asked.

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